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admixr—R package for reproducible analyses using ADMIXTOOLS

SUMMARY: We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f(3), D, f(4), f(4)-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the...

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Detalles Bibliográficos
Autores principales: Petr, Martin, Vernot, Benjamin, Kelso, Janet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736366/
https://www.ncbi.nlm.nih.gov/pubmed/30668635
http://dx.doi.org/10.1093/bioinformatics/btz030
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author Petr, Martin
Vernot, Benjamin
Kelso, Janet
author_facet Petr, Martin
Vernot, Benjamin
Kelso, Janet
author_sort Petr, Martin
collection PubMed
description SUMMARY: We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f(3), D, f(4), f(4)-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the user must first generate a set of text configuration files tailored to each individual analysis, often using a combination of shell scripting and manual text editing. The non-tabular output files then need to be parsed to extract values of interest prior to further analyses. Our package simplifies this process by automating all low-level configuration and parsing steps, making analyses as simple as running a single R command. Furthermore, we provide a set of R functions for processing, filtering and manipulating datasets in the EIGENSTRAT format. By unifying all steps of the workflow under a single R framework, this package enables the automation of analytic pipelines, significantly improving the reproducibility of population genetic studies. AVAILABILITY AND IMPLEMENTATION: The source code of the R package is available under the MIT license. Installation instructions, reference manual and a tutorial can be found on the package website at https://bioinf.eva.mpg.de/admixr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-67363662019-09-16 admixr—R package for reproducible analyses using ADMIXTOOLS Petr, Martin Vernot, Benjamin Kelso, Janet Bioinformatics Applications Notes SUMMARY: We present a new R package admixr, which provides a convenient interface for performing reproducible population genetic analyses (f(3), D, f(4), f(4)-ratio, qpWave and qpAdm), as implemented by command-line programs in the ADMIXTOOLS software suite. In a traditional ADMIXTOOLS workflow, the user must first generate a set of text configuration files tailored to each individual analysis, often using a combination of shell scripting and manual text editing. The non-tabular output files then need to be parsed to extract values of interest prior to further analyses. Our package simplifies this process by automating all low-level configuration and parsing steps, making analyses as simple as running a single R command. Furthermore, we provide a set of R functions for processing, filtering and manipulating datasets in the EIGENSTRAT format. By unifying all steps of the workflow under a single R framework, this package enables the automation of analytic pipelines, significantly improving the reproducibility of population genetic studies. AVAILABILITY AND IMPLEMENTATION: The source code of the R package is available under the MIT license. Installation instructions, reference manual and a tutorial can be found on the package website at https://bioinf.eva.mpg.de/admixr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-09-01 2019-01-22 /pmc/articles/PMC6736366/ /pubmed/30668635 http://dx.doi.org/10.1093/bioinformatics/btz030 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Petr, Martin
Vernot, Benjamin
Kelso, Janet
admixr—R package for reproducible analyses using ADMIXTOOLS
title admixr—R package for reproducible analyses using ADMIXTOOLS
title_full admixr—R package for reproducible analyses using ADMIXTOOLS
title_fullStr admixr—R package for reproducible analyses using ADMIXTOOLS
title_full_unstemmed admixr—R package for reproducible analyses using ADMIXTOOLS
title_short admixr—R package for reproducible analyses using ADMIXTOOLS
title_sort admixr—r package for reproducible analyses using admixtools
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6736366/
https://www.ncbi.nlm.nih.gov/pubmed/30668635
http://dx.doi.org/10.1093/bioinformatics/btz030
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